import tensorflow as tf
import librosa
import numpy as np
import soundfile as sf

# Load the trained model
model = tf.keras.models.load_model('model/clone_tts_model.h5')

# Define input text
text_input = "Hello, welcome to CloneTTS. This is an example of text-to-speech synthesis."

# Generate the speech (preprocess as needed depending on model requirements)
speech = model.predict(np.array([text_input]))

# Save the generated speech to a .wav file
sf.write('output/speech.wav', speech, 22050)  # Adjust sample rate as necessary

print("Speech generated and saved as 'output/speech.wav'")